Uncertainty in population receptive field estimates revealed by variational qPRF

By directly addressing variability, qPRF-v not only increases the accuracy of retinotopic mapping but also enables more robust, individualized analyses of visual processing. This advancement has profound implications for studying visual function in health and disease, paving the way for personalized neuroscience and improved brain atlases for research and clinical applications.

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Publication Details

Journal
Journal of Neuroscience Methods
Published
2025-11-20
DOI
https://doi.org/10.1016/j.jneumeth.2025.110628
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

Uncertainty in population receptive field estimates revealed by variational qPRF

Zhong-Lin Lu, Sebastian Waz, Yalin Wang
Journal of Neuroscience Methods
Cell Image Analysis Techniques
article

Uncertainty in population receptive field estimates revealed by variational qPRF

Zhong-Lin Lu, Sebastian Waz, Yalin Wang
article en

Abstract

By directly addressing variability, qPRF-v not only increases the accuracy of retinotopic mapping but also enables more robust, individualized analyses of visual processing. This advancement has profound implications for studying visual function in health and disease, paving the way for personalized neuroscience and improved brain atlases for research and clinical applications.

Journal of Neuroscience MethodsVol. 426
New York University Shanghai (CN), Arizona State University (US), New York University (US)
Openalex Percentile: Top 76%
Cell Image Analysis Techniques
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